. 
. teddf K L= Y: CO2, dmu( Province ) time(year) nonr sav(ex2result,replace)
{\smallskip}
 The weight vector is (1 1 1 1)
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 The directional vector is (-K -L Y -CO2)
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{\smallskip}
 Non-raidal Directional Distance Function Results:
    (Row: Row \# in the original data; Dv: Estimated value of Non-raidal DDF.)
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     {\TLC}\HLI{72}{\TRC}
     {\VBAR} Row       Province   year       Dv      B_K      B_L      B_Y    B_CO2 {\VBAR}
     {\LFTT}\HLI{72}{\RGTT}
  1. {\VBAR}   1          Anhui   2013   1.6710   0.4594   0.7225   0.0000   0.4890 {\VBAR}
  2. {\VBAR}   2          Anhui   2014   1.7823   0.5293   0.7198   0.0000   0.5331 {\VBAR}
  3. {\VBAR}   3          Anhui   2015   1.8210   0.5827   0.7181   0.0000   0.5202 {\VBAR}
  4. {\VBAR}   4        Beijing   2013   0.0000   0.0000   0.0000   0.0000   0.0000 {\VBAR}
  5. {\VBAR}   5        Beijing   2014   0.0000   0.0000   0.0000   0.0000   0.0000 {\VBAR}
  6. {\VBAR}   6        Beijing   2015   0.0000   0.0000   0.0000   0.0000   0.0000 {\VBAR}
  7. {\VBAR}  88      Chongqing   2013   1.3031   0.4994   0.5887   0.0000   0.2149 {\VBAR}
  8. {\VBAR}  89      Chongqing   2014   1.3988   0.5415   0.5781   0.0000   0.2792 {\VBAR}
  9. {\VBAR}  90      Chongqing   2015   1.3936   0.5777   0.5661   0.0000   0.2499 {\VBAR}
 10. {\VBAR}   7         Fujian   2013   0.7968   0.3578   0.4363   0.0000   0.0026 {\VBAR}
 11. {\VBAR}   8         Fujian   2014   1.0092   0.4289   0.4426   0.0000   0.1377 {\VBAR}
 12. {\VBAR}   9         Fujian   2015   0.9997   0.4915   0.4581   0.0000   0.0500 {\VBAR}
 13. {\VBAR}  10          Gansu   2013   1.9927   0.5204   0.7853   0.0000   0.6869 {\VBAR}
 14. {\VBAR}  11          Gansu   2014   2.2088   0.0000   0.4725   1.4444   0.2920 {\VBAR}
 15. {\VBAR}  12          Gansu   2015   2.3532   0.0000   0.3980   1.7971   0.1580 {\VBAR}
 16. {\VBAR}  13      Guangdong   2013   0.0000   0.0000   0.0000   0.0000   0.0000 {\VBAR}
 17. {\VBAR}  14      Guangdong   2014   0.6215   0.1373   0.4425   0.0000   0.0417 {\VBAR}
 18. {\VBAR}  15      Guangdong   2015   0.6649   0.1980   0.4420   0.0000   0.0250 {\VBAR}
 19. {\VBAR}  16        Guangxi   2013   1.5334   0.4916   0.7061   0.0000   0.3357 {\VBAR}
 20. {\VBAR}  17        Guangxi   2014   1.6170   0.5515   0.7041   0.0000   0.3613 {\VBAR}
 21. {\VBAR}  18        Guangxi   2015   1.6090   0.6022   0.7043   0.0000   0.3025 {\VBAR}
 22. {\VBAR}  19        Guizhou   2013   2.3695   0.0000   0.5540   1.3240   0.4915 {\VBAR}
 23. {\VBAR}  20        Guizhou   2014   2.5997   0.0000   0.4772   1.7013   0.4212 {\VBAR}
 24. {\VBAR}  21        Guizhou   2015   2.7821   0.0000   0.3915   2.1054   0.2852 {\VBAR}
 25. {\VBAR}  22         Hainan   2013   1.3403   0.4746   0.6643   0.0000   0.2013 {\VBAR}
 26. {\VBAR}  23         Hainan   2014   1.5403   0.5388   0.6783   0.0000   0.3231 {\VBAR}
 27. {\VBAR}  24         Hainan   2015   1.6483   0.5871   0.6841   0.0000   0.3771 {\VBAR}
 28. {\VBAR}  25          Hebei   2013   1.7228   0.4579   0.6047   0.0000   0.6603 {\VBAR}
 29. {\VBAR}  26          Hebei   2014   1.8109   0.5240   0.6092   0.0000   0.6777 {\VBAR}
 30. {\VBAR}  27          Hebei   2015   1.8541   0.5731   0.6118   0.0000   0.6692 {\VBAR}
 31. {\VBAR}  31   Heilongjiang   2013   1.1895   0.2710   0.4781   0.0000   0.4404 {\VBAR}
 32. {\VBAR}  32   Heilongjiang   2014   1.3255   0.3249   0.4909   0.0000   0.5098 {\VBAR}
 33. {\VBAR}  33   Heilongjiang   2015   1.3640   0.3629   0.4874   0.0000   0.5137 {\VBAR}
 34. {\VBAR}  28          Henan   2013   1.6570   0.4861   0.7193   0.0000   0.4516 {\VBAR}
 35. {\VBAR}  29          Henan   2014   1.7660   0.5408   0.7209   0.0000   0.5043 {\VBAR}
 36. {\VBAR}  30          Henan   2015   1.8019   0.5890   0.7232   0.0000   0.4897 {\VBAR}
 37. {\VBAR}  34          Hubei   2013   1.1084   0.3302   0.5707   0.0000   0.2075 {\VBAR}
 38. {\VBAR}  35          Hubei   2014   1.2365   0.4089   0.5605   0.0000   0.2672 {\VBAR}
 39. {\VBAR}  36          Hubei   2015   1.2621   0.4735   0.5504   0.0000   0.2382 {\VBAR}
 40. {\VBAR}  37          Hunan   2013   1.2374   0.3551   0.6629   0.0000   0.2194 {\VBAR}
 41. {\VBAR}  38          Hunan   2014   1.3441   0.4279   0.6566   0.0000   0.2596 {\VBAR}
 42. {\VBAR}  39          Hunan   2015   1.4214   0.4905   0.6471   0.0000   0.2839 {\VBAR}
 43. {\VBAR}  43        Jiangsu   2013   0.8171   0.2965   0.2874   0.0000   0.2332 {\VBAR}
 44. {\VBAR}  44        Jiangsu   2014   0.9144   0.3588   0.2780   0.0000   0.2776 {\VBAR}
 45. {\VBAR}  45        Jiangsu   2015   0.9532   0.4106   0.2691   0.0000   0.2736 {\VBAR}
 46. {\VBAR}  46        Jiangxi   2013   1.4948   0.4929   0.7009   0.0000   0.3011 {\VBAR}
 47. {\VBAR}  47        Jiangxi   2014   1.6075   0.5492   0.6958   0.0000   0.3626 {\VBAR}
 48. {\VBAR}  48        Jiangxi   2015   1.6652   0.5977   0.6920   0.0000   0.3755 {\VBAR}
 49. {\VBAR}  40          Jilin   2013   1.6010   0.5369   0.5118   0.0000   0.5523 {\VBAR}
 50. {\VBAR}  41          Jilin   2014   1.6964   0.5795   0.5259   0.0000   0.5911 {\VBAR}
 51. {\VBAR}  42          Jilin   2015   1.7212   0.6167   0.5408   0.0000   0.5637 {\VBAR}
 52. {\VBAR}  49       Liaoning   2013   1.3721   0.4781   0.3567   0.0000   0.5373 {\VBAR}
 53. {\VBAR}  50       Liaoning   2014   1.4933   0.5313   0.3762   0.0000   0.5858 {\VBAR}
 54. {\VBAR}  51       Liaoning   2015   1.5003   0.5517   0.3631   0.0000   0.5855 {\VBAR}
 55. {\VBAR}  52      Neimenggu   2013   1.7859   0.5261   0.4361   0.0000   0.8237 {\VBAR}
 56. {\VBAR}  53      Neimenggu   2014   1.8903   0.5853   0.4627   0.0000   0.8423 {\VBAR}
 57. {\VBAR}  54      Neimenggu   2015   1.8930   0.6002   0.4526   0.0000   0.8402 {\VBAR}
 58. {\VBAR}  55        Ningxia   2013   3.1219   0.0000   0.1265   2.3015   0.6939 {\VBAR}
 59. {\VBAR}  56        Ningxia   2014   3.4828   0.0000   0.0072   2.7891   0.6864 {\VBAR}
 60. {\VBAR}  57        Ningxia   2015   3.6264   0.0954   0.0000   2.8435   0.6875 {\VBAR}
 61. {\VBAR}  58        Qinghai   2013   1.9420   0.6348   0.6909   0.0000   0.6163 {\VBAR}
 62. {\VBAR}  59        Qinghai   2014   2.0615   0.0977   0.1108   1.8529   0.0000 {\VBAR}
 63. {\VBAR}  60        Qinghai   2015   2.2182   0.1745   0.0802   1.9635   0.0000 {\VBAR}
 64. {\VBAR}  67        Shaanxi   2013   1.9274   0.5964   0.6706   0.0000   0.6604 {\VBAR}
 65. {\VBAR}  68        Shaanxi   2014   1.9953   0.6413   0.6646   0.0000   0.6894 {\VBAR}
 66. {\VBAR}  69        Shaanxi   2015   2.0757   0.0399   0.0000   1.9710   0.0648 {\VBAR}
 67. {\VBAR}  61       Shandong   2013   1.2119   0.2871   0.4964   0.0000   0.4285 {\VBAR}
 68. {\VBAR}  62       Shandong   2014   1.3313   0.3519   0.4916   0.0000   0.4878 {\VBAR}
 69. {\VBAR}  63       Shandong   2015   1.4087   0.4106   0.4904   0.0000   0.5077 {\VBAR}
 70. {\VBAR}  70       Shanghai   2013   0.0000   0.0000   0.0000   0.0000   0.0000 {\VBAR}
 71. {\VBAR}  71       Shanghai   2014   0.0000   0.0000   0.0000   0.0000   0.0000 {\VBAR}
 72. {\VBAR}  72       Shanghai   2015   0.0000   0.0000   0.0000   0.0000   0.0000 {\VBAR}
 73. {\VBAR}  64         Shanxi   2013   2.0539   0.0000   0.2748   1.0972   0.6818 {\VBAR}
 74. {\VBAR}  65         Shanxi   2014   2.3002   0.0000   0.1839   1.4368   0.6795 {\VBAR}
 75. {\VBAR}  66         Shanxi   2015   2.5450   0.0000   0.0894   1.8447   0.6109 {\VBAR}
 76. {\VBAR}  73        Sichuan   2013   1.2849   0.4147   0.6779   0.0000   0.1923 {\VBAR}
 77. {\VBAR}  74        Sichuan   2014   1.4019   0.4715   0.6752   0.0000   0.2551 {\VBAR}
 78. {\VBAR}  75        Sichuan   2015   1.3719   0.5171   0.6742   0.0000   0.1806 {\VBAR}
 79. {\VBAR}  76        Tianjin   2013   0.6668   0.3760   0.0466   0.0000   0.2441 {\VBAR}
 80. {\VBAR}  77        Tianjin   2014   0.7531   0.4253   0.0551   0.0000   0.2727 {\VBAR}
 81. {\VBAR}  78        Tianjin   2015   0.7349   0.4665   0.0581   0.0000   0.2103 {\VBAR}
 82. {\VBAR}  79       Xinjiang   2013   2.0085   0.0000   0.1794   1.2920   0.5370 {\VBAR}
 83. {\VBAR}  80       Xinjiang   2014   2.2392   0.0000   0.0731   1.6136   0.5526 {\VBAR}
 84. {\VBAR}  81       Xinjiang   2015   2.4689   0.0096   0.0000   1.9262   0.5330 {\VBAR}
 85. {\VBAR}  82         Yunnan   2013   1.7617   0.4480   0.7814   0.0000   0.5323 {\VBAR}
 86. {\VBAR}  83         Yunnan   2014   1.8300   0.5165   0.7834   0.0000   0.5301 {\VBAR}
 87. {\VBAR}  84         Yunnan   2015   1.8184   0.5696   0.7790   0.0000   0.4698 {\VBAR}
 88. {\VBAR}  85       Zhejiang   2013   0.8887   0.2696   0.4386   0.0000   0.1805 {\VBAR}
 89. {\VBAR}  86       Zhejiang   2014   1.0078   0.3364   0.4375   0.0000   0.2340 {\VBAR}
 90. {\VBAR}  87       Zhejiang   2015   1.0589   0.3912   0.4368   0.0000   0.2309 {\VBAR}
     {\BLC}\HLI{72}{\BRC}
Note: Missing value indicates infeasible problem.
(file{\bftt{ ex2result.dta}} not found)
file{\bftt{ ex2result.dta}} saved
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Estimated Results are saved in ex2result.dta.
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. 
